The integration of AI into information systems will affect the way users interface with these systems. This exploration of the interaction and collaboration between humans and AI reveals its potential and challenges, covering issues such as data privacy, credibility of results, misinformation, and search interactions. Later chapters delve into application domains such as healthcare and scientific discovery. In addition to providing new perspectives on and methods for developing AI technology and designing more humane and efficient artificial intelligence systems, the book also reveals the shortcomings of artificial intelligence technologies through case studies and puts forward corresponding countermeasures and suggestions. This book is ideal for researchers, students, and industry practitioners interested in enhancing human-centered AI systems and insights for future research.
Arvustused
'This book offers a comprehensive exploration of the dynamic interaction and collaboration between humans and AI across various domains. It tackles both the opportunities and challenges presented by AI, highlighting its potential to enhance productivity, ethical considerations, and its role in shaping the future of industries such as healthcare and education. A valuable resource for anyone interested in understanding the multifaceted impact of AI.' Chuanfu Chen, Senior Professor of Humanities and Social Sciences, Wuhan University, China
Muu info
This book explores how humans and generative AI can interact and collaborate efficiently and ethically.
Contributor biographies; Preface;
1. Introduction Dan Wu, Guoye Sun and
Shaobo Liang;
2. User Interaction for Human-AI Interaction and Collaboration
Dan Wu and Qingyue Guo ;
3. Privacy Identification of Human-Generative AI
Interaction Dan Wu and Guoye Sun;
4. Credibility Assessment of
Human-Generative AI Interaction Yuxiang Chris Zhao, Shijie Song and Yutian
Jing;
5. AI-supported Crowdsourcing for Knowledge Sharing Chei Sian Lee, Dion
Hoe-Lian Goh, Hang Guo, Kok Khiang Lim and Qian Wu;
6. AI-supported Search
Interaction for Enhancing Users' Understanding Shaobo Liang and Chenrui Shi;
7. AI for Human and Misinformation Interactions: A Case of Social Media
Nannan Huang, Xiuzhen Zhang and Jia Tina Du;
8. Effective Human-AI
Collaborative Intelligence Zhuoren Jiang and Xiaozhong Liu;
9. Human-AI
Collaboration for Identifying Health Information Wants Zhuochun Li, Zhimeng
Luo, Ning Zou, Bo Xie and Daqing He;
10. Human-AI Collaboration for
Scientific Discovery Shuo Zhao, Yang Liu, Jiayu Wan, Tan Tang and Xin Li;
11.
Challenges of Generative AI on Human-AI Interaction and Collaboration Shaobo
Liang and Cai Yiting;
12. Conclusion Dan Wu, Guoye Sun and Shaobo Liang.
Dan Wu is Full Professor at the School of Information Management at Wuhan University. She is also the Director of the Human-Computer Interaction and User Behavior Research Center at Wuhan University. She is the editor-in-chief of Aslib Journal of Information Management and has served as Director at Large of ASIS&T. She has received multiple research grants, including from the National Key R&D Program of China. Shaobo Liang is Associate Professor at the School of Information Management at Wuhan University. He was supported by the Young Elite Scientists Sponsorship Program by CAST. He has served as Chair-Elect of the Asia Chapter of ASIS&T and as a member of the iNext Group of iSchool AP. His research interests include human-computer interaction, user information-seeking behavior, and mobile interaction behavior.
